Triple
T24840824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organización Nacional de Mujeres Priistas |
E621607
|
entity |
| Predicate | hasWingRole |
P157400
|
FINISHED |
| Object | women's organization of the PRI |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: women's organization of the PRI | Statement: [Organización Nacional de Mujeres Priistas, hasWingRole, women's organization of the PRI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWingRole Context triple: [Organización Nacional de Mujeres Priistas, hasWingRole, women's organization of the PRI]
-
A.
hasWingIn
Indicates that an entity possesses a wing that is located in or contained within another specified entity or structure.
-
B.
hasWingOf
Indicates that one entity possesses or is associated with the wing that belongs to another entity.
-
C.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
-
D.
hasWings
Indicates that an entity possesses wings as physical appendages.
-
E.
hasHostWing
Indicates that one entity serves as the host structure or supporting wing for another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:18 a.m.